RSEM (RNA-Seq by Expectation-Maximization)
RSEM is a widely-used RNA-Seq transcript quantification tool. RSEM papers are cited over 5,300 times. It was served in nationwide consortium projects such as ENCODE (The Encyclopedia of DNA Elements) and TCGA (The Cancer Genome Altas). It is also recommended by HCA (Human Cell Atlas) for analyzing plate-based SMART-Seq2 single-cell RNA-Seq data.
Publications:
Bo Li
Assistant Professor of Medicine and Director of Bioinformatics and Computational Biology Program
Dr. Li’s research focuses on developing reliable computational tools to empower novel analyses of various Next-Generation Sequencing (NGS) data, and in particular, single-cell genomics data.